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Perceptual Losses for Real-Time Style Transfer and Super-Resolution [PDF]
Lecture Notes in Computer Science, 2016 We consider image transformation problems, where an input image is transformed into an output image. Recent methods for such problems typically train feed-forward convolutional neural networks using a per-pixel loss between the output and ground-truth ...
Alexandre Alahi, Li Fei-Fei
exaly +3 more sources
The Body in Animal’s People: Redefining ‘Humanity’ and Connecting Two Worlds [PDF]
Indialogs: Spanish Journal of India Studies, 2018 An analysis of the limits of humanity in Indra Sinha's novel Animal's ...
Helena Style Muñoz
doaj +5 more sources
RepVGG: Making VGG-style ConvNets Great Again [PDF]
Computer Vision and Pattern Recognition, 2021 We present a simple but powerful architecture of convolutional neural network, which has a VGG-like inference-time body composed of nothing but a stack of 3 × 3 convolution and ReLU, while the training-time model has a multi-branch topology.
Xiaohan Ding +5 more
semanticscholar +1 more source
Style Aligned Image Generation via Shared Attention [PDF]
Computer Vision and Pattern Recognition, 2023 Large-scale Text-to-Image (T2I) models have rapidly gained prominence across creative fields, generating visu- ally compelling outputs from textual prompts.
Amir Hertz +3 more
semanticscholar +1 more source
Style Injection in Diffusion: A Training-Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer [PDF]
Computer Vision and Pattern Recognition, 2023 Despite the impressive generative capabilities of diffusion models, existing diffusion model-based style transfer methods require inference-stage optimization (e.g.
Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo
semanticscholar +1 more source
StyleDrop: Text-to-Image Generation in Any Style [PDF]
arXiv.org, 2023 Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts. However, ambiguities inherent in natural language and out-of-distribution effects make it hard to synthesize image styles, that leverage a ...
Kihyuk Sohn +13 more
semanticscholar +1 more source
Inversion-based Style Transfer with Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2022 The artistic style within a painting is the means of expression, which includes not only the painting material, colors, and brushstrokes, but also the high-level attributes, including semantic elements and object shapes. Previous arbitrary example-guided
Yu-xin Zhang +6 more
semanticscholar +1 more source
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer [PDF]
IEEE International Conference on Computer Vision, 2021 Fast arbitrary neural style transfer has attracted widespread attention from academic, industrial and art communities due to its flexibility in enabling various applications. Existing solutions either attentively fuse deep style feature into deep content
Songhua Liu +8 more
semanticscholar +1 more source
Trauma and Romance in Contemporary British Literature
Miscelánea: A Journal of English and American Studies, 2022 .
John Style
doaj +1 more source
StyTr2: Image Style Transfer with Transformers [PDF]
Computer Vision and Pattern Recognition, 2021 The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content. Owing to the locality in convolutional neural networks (CNNs), extracting and maintaining the global ...
Yingying Deng +6 more
semanticscholar +1 more source